The Data Scientist II - FI Solutions plays a crucial role in delivering our solutions today and will play a more prominent role in our future. At Vericast, our data science projects have strong foundations on machine learning, data engineering, and modeling. The Data Scientist II - FI Solutions is passionate about using cutting edge technology and data science methods to solve unique and complex problems within the Financial Services industry.
This role is ideal for someone who enjoys working across high-volume telemetry sources, optimizing data workflows, and solving schema drift challenges in real-world distributed environments. You’ll be part of the Security Data Platform and ML Engineering team, helping to onboard and normalize security data that powers analytics, detection, and ML workflows across Adobe.
CapTech Data Architects match our clients’ business goals with available technologies when developing a strategy for a successful data delivery implementation. They improve our clients’ business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. They apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions.
Drive personalization, recommendation, and product marketplace improvement efforts. Should think like a Grailed user as well as a business owner, understanding how data impacts a fashion-forward user experience. This key role will operate at the intersection of Data, Product, Engineering, and Marketing, working cross functionally to develop compelling data products.
Seeking a highly analytical and detail-oriented Data Analytics & Revenue Reporting Specialist to join our team on a part-time basis. This role is ideal for someone who can dedicate 6 to 8 hours per day during the first week of each month to support Annual Recurring Revenue (ARR) and subscription-based reporting efforts. The ideal candidate will have a strong grasp of SaaS metrics, revenue data analytics, and business intelligence tools.
Data is core to how ClassDojo makes decisions. As a staff data scientist, you’ll help build the world's leading consumer education business, one that is already reaching tens of millions of parents, teachers, and children. You’ll help grow ClassDojo to our next major milestones while deepening love for our brand.
The product analytics team is responsible for developing our portfolio of reports and data insights that support product development teams seeking to improve the health of our members. Using data spanning app engagement, clinical outcomes, behavioral health indicators, and claims, you will partner with product and engineering teams to identify and solve the biggest challenges across Omada’s customers. The key job responsibilities include owning the data architecture, delivering key performance insights, and collaborating across multiple teams.
The Provider Data Analyst is responsible for managing and maintaining accurate healthcare provider information within organizational databases to support network operations. Responsibilities include intaking provider data from multiple sources, ensuring data accuracy, and collaborating with internal teams. They will also generate reports and assist in developing data management procedures and policies.
As a Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries. You will design, develop, and maintain data pipelines using dbt to transform and load data into a data warehouse.
We are looking for a Swedish-speaking Data Annotator, based in Serbia, to work on projects to advance AI technologies. This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field.